Risk Factors In Cancer Patients Research Articles

Elucidating hematological profile and electrolyte balance in oral cancer patients.

Oral cancer is a serious health issue in both the developing and developed worlds, and it is one of the most common forms of cancer of the head and neck. In accordance with the 2017 World Health Organization classification, oral cancer can affect any part of the mouth, including the buccal mucosa, the front two-thirds of the tongue, the lip, the palate, the vestibule, the alveolus, the floor of the mouth, and the gingivae. Hematology and electrolyte balance have been proposed as tumor indicators and paths into cancer's genesis. Examining the patient's blood count and electrolyte levels in order to better understand their oral cancer. Electrolyte abnormalities are common in cancer patients and may be caused by the disease itself or by treatment. Hyponatremia is the most frequent electrolyte problem in cancer patients, and it is typically caused by the syndrome of improper ADH secretion. Although electrolyte problems are associated with a worse prognosis for cancer patients, timely and effective therapy has the potential to enhance both short- and long-term results and quality of life. Hematological tests on patients with oral cancer, including differential cell count, white blood cell count, and hemoglobin level. Compared to healthy controls, oral cancer patients show statistically significant differences in a number of biochemical parameters, including electrolytes (sodium, P<0.05; potassium, P=0.89; chloride, P<0.05); differential count (neutrophils, P<0.05; basophils, P<0.05). A significant risk factor for cancer patients is an electrolyte imbalance, which has been linked to inappropriate anti-diabetic hormone release. Clinicians will find these shifts in electrolytic level helpful in diagnosing and tracking oral cancer. Potentially malignant oral disorders and Oral squamous cell carcinoma may be better predicted using a combination of TLC, neutrophil, and lymphocyte counts, as shown in this study.

Therapy-naïve malignancy causes cardiovascular disease: a state-of-the-art cardio-oncology perspective.

Cardiovascular disease (CVD) and cancer are the leading causes of mortality worldwide. Although generally thought of as distinct diseases, the intersectional overlap between CVD and cancer is increasingly evident in both causal and mechanistic relationships. The field of cardio-oncology is largely focused on the cardiotoxic effects of cancer therapies (e.g., chemotherapy, radiation). Furthermore, the cumulative effects of cardiotoxic therapy exposure and the prevalence of CVD risk factors in patients with cancer lead to long-term morbidity and poor quality of life in this patient population, even when patients are cancer-free. Evidence from patients with cancer and animal models demonstrates that the presence of malignancy itself, independent of cardiotoxic therapy exposure or CVD risk factors, negatively impacts cardiac structure and function. As such, the primary focus of this review is the cardiac pathophysiological and molecular features of therapy-naïve cancer. We also summarize the strengths and limitations of preclinical cancer models for cardio-oncology research and discuss therapeutic strategies that have been tested experimentally for the treatment of cancer-induced cardiac atrophy and dysfunction. Finally, we explore an adjacent area of interest, called "reverse cardio-oncology," where the sequelae of heart failure augment cancer progression. Here, we emphasize the cross-disease communication between malignancy and the injured heart and discuss the importance of chronic low-grade inflammation and endocrine factors in the progression of both diseases.

ASSESSMENT OF FALL RISK IN CANCER PATIENTS RECEIVING PALLIATIVE CARE

Aim: This study aims to evaluate fall risk factors in cancer patients receiving palliative care units. Method: This cross-sectional descriptive study was performed on 122 cancer patients served the palliative care unit between 01 October and 20 November 2020. The patient’s functional status was evaluated with the Katz Index of Independence in Activities of Daily Living. The data were collected using the Itaki Fall Risk Scale. Results: The mean age of patients was 57.32±12.10 years. The fall risk score of the patients was found to be 17.25±6.20. The risk of falling was higher in the elderly, those with chronic disease, diagnosed with lung cancer, and a history of falling variables. The most common minor risk factor was the presence of chronic disease, and the most common major risk factor was dizziness. Conclusions and Suggestions: Fall risk is high in cancer patients receiving palliative care. Cancer patients receiving palliative care treatment should be evaluated in terms of fall risk.

Use of computed tomography coronary calcium score for prediction of cardiovascular events in cancer patients: a retrospective cohort analysis

BackgroundCT- coronary calcium score, is one of the most studied and widely available modalities in cardiovascular medicine. Coronary artery calcium score (CACS) is an established predictor of coronary artery disease. The ‘standard of care’ diagnostic modality to measure CACS is ECG-gated Cardiac Multi-Detector Computed Tomography. There is convincing evidence of a strong association between CACS and major cardiovascular (CV) events in asymptomatic individuals. Cancer patients (C) may have a higher risk for CV disease than non-cancer patients (NC) related not only to cancer treatments but also to shared biological factors and pathways. Thus, identifying tools for early detection of CV disease in this population is of utmost importance.MethodsA retrospective cohort analysis was performed with patients from Cleveland Clinic Florida and Ohio who had CACS from 2017 to 2021. Patients who had cancer diagnosis prior to CACS were matched to NC for age and sex. CV events after their index CACS events were compared between C and NC, and matched control and propensity analysis were conducted.ResultsTen thousand seven hundred forty-two patients had CACS; 703 cancer patients had CACS and were eligible. Extensive CACS (> 400) were significantly higher in cancer, 94 (13.37%) vs non-cancer patients, 76 (10.83%), P = 0.011. Furthermore, after propensity matched analysis, CACS > 400 was 14.8% in C vs 9.6% in NC, P = < 0.05. CV events were similar in both cohorts (p = NS), despite less CV risk factors in cancer patients (P = < 0.05). For the combined moderate (101–400) & extensive (> 400) CACS, the prevalence of stroke and peripheral arterial disease, a marker of systemic atherosclerosis, was significantly higher in patients with cancer (P < 0.01).ConclusionsDespite having fewer CV risk factors in our study, similar CACS in cancer patients are suggestive of a higher prevalence of CV disease independent of traditional risk factors. High CACS and the overall prevalence of vascular events were more frequent in patients with cancer. Higher prevalence of peripheral arterial disease and cerebrovascular accident further suggests the increased atherosclerotic burden in C.

Knockdown of SQLE promotes CD8+ T cell infiltration in the tumor microenvironment

Cholesterol biosynthesis and metabolism are critical aspects that shape the process of tumor development and associated microenvironmental conditions owing to the ability of cholesterol to drive tumor growth and invasion. Squalene Epoxidase (SQLE) is the second rate-limiting enzyme involved in the synthesis of cholesterol. The functional role of SQLE within the tumor microenvironment, however, has yet to be established. Here we show that SQLE is distinctively expressed across most types of cancer, and the expression level is highly correlated with tumor mutation burden and microsatellite instability. Accordingly, SQLE was identified as a prognostic risk factor in cancer patients. In addition, we observed a negative correlation between SQLE expression and immune cell infiltration across multiple cancers, and murine xenograft model further confirmed that SQLE knockdown was associated with enhanced intratumoral CD8+ T cell infiltration. Using next-generation sequencing, we identified 410 genes distinctively expressed in tumors exhibiting SQLE inhibition. KEGG and GO analysis further verified that SQLE altered the immune response in the tumor microenvironment. Furthermore, we found that the metabolism and translation of proteins is the main binding factor with SQLE. Our findings ascertain that SQLE is a potential target in multiple cancers and suppressing SQLE establishes an essential mechanism for shaping tumor microenvironment.

Proof of concept: Predicting distress in cancer patients using back propagation neural network (BPNN)

BackgroundResearch findings suggest that a significant proportion of individuals diagnosed with cancer, ranging from 25% to 60%, experience distress and require access to psycho-oncological services. Until now, only contemporary approaches, such as logistic regression, have been used to determine predictors of distress in oncological patients. To improve individual prediction accuracy, novel approaches are required. We aimed to establish a prediction model for distress in cancer patients based on a back propagation neural network (BPNN). MethodsRetrospective data was gathered from a cohort of 3063 oncological patients who received diagnoses and treatment spanning the years 2011–2019. The distress thermometer (DT) has been used as screening instrument. Potential predictors of distress were identified using logistic regression. Subsequently, a prediction model for distress was developed using BPNN. ResultsLogistic regression identified 13 significant independent variables as predictors of distress, including emotional, physical and practical problems. Through repetitive data simulation processes, it was determined that a 3-layer BPNN with 8 neurons in the hidden layer demonstrates the highest level of accuracy as a prediction model. This model exhibits a sensitivity of 79.0%, specificity of 71.8%, positive predictive value of 78.9%, negative predictive value of 71.9%, and an overall coincidence rate of 75.9%. ConclusionThe final BPNN model serves as a compelling proof of concept for leveraging artificial intelligence in predicting distress and its associated risk factors in cancer patients. The final model exhibits a remarkable level of discrimination and feasibility, underscoring its potential for identifying patients vulnerable to distress.

Guaranteed Income and Financial Treatment Trial (GIFT Trial or GIFTT): a 12-month, randomized controlled trial to compare the effectiveness of monthly unconditional cash transfers to treatment as usual in reducing financial toxicity in people with cancer who have low incomes.

Cancer-related financial hardship (i.e., financial toxicity) has been associated with anxiety and depression, greater pain and symptom burden, treatment nonadherence, and mortality. Out-of-pocket healthcare costs and lost income are primary drivers of financial toxicity, however, income loss is a pronounced risk factor for cancer patients with low incomes. There has been little progress in developing an income intervention to alleviate financial toxicity cancer patients with low incomes. Unconditional cash transfers (UCT), or guaranteed income, have produced positive health effects in experiments with general low-income populations, but have not yet been evaluated in people with cancer. The Guaranteed Income and Financial Treatment (GIFT) Trial will use a two-arm randomized controlled trial to compare the efficacy of a 12-month UCT intervention providing $1000/month to treatment as usual on financial toxicity, health-related quality of life and treatment adherence in people with cancer who have low-incomes. The study will recruit 250 Medicaid beneficiaries with advanced cancer from two comprehensive cancer centers in Philadelphia, obtain informed consent, and randomize patients to one of two conditions: (1) $1,000/month UCT or (2) treatment as usual. Both arms will receive information on financial toxicity and the contact information for their hospital social worker or financial advocate upon enrollment. Participants will complete online surveys at baseline, 3, 6, 9, and 12 months from enrollment to collect patient-reported data on primary (i.e., financial toxicity, health-related quality of life, and treatment adherence) and secondary outcomes (i.e., anxiety, depression, food insecurity, housing stability). Social security records will be used to explore the effect on mortality at 2, 3, and 5 years post-enrollment. Linear mixed-models will be used to analyze all primary and secondary continuous outcomes over time and general estimating equations with a logit link and binary distribution for all binary outcomes over time. Differences between treatment and control groups and treatment effects will be determined using models that control for age, gender, race, baseline food security, baseline housing stability, and baseline ECOG. Findings from this study will have significant implications for the development and implementation of programs and policies that address the financial burden of cancer and other serious illnesses.

Pan-cancer mutational signature surveys correlated mutational signature with geospatial environmental exposures and viral infections

BackgroundCancer has been disproportionally affecting minorities. Genomic-based cancer disparity analyses have been less common than conventional epidemiological studies. In the past decade, mutational signatures have been established as characteristic footprints of endogenous or exogenous carcinogens. MethodsIntegrating datasets of diverse cancer types from The Cancer Genome Atlas and geospatial environmental risks of the registry hospitals from the United States Environmental Protection Agency, we explored mutational signatures from the aspect of racial disparity concerning pollutant exposures. The raw geospatial environmental exposure data were refined to 449 air pollutants archived and modeled from 2007 to 2017 and aggregated to the census county level. Additionally, hepatitis B and C viruses and human papillomavirus infection statuses were incorporated into analyses for skin cancer, cervical cancer, and liver cancer. ResultsMutation frequencies of key oncogenic genes varied substantially between different races. These differences were further translated into differences in mutational signatures. Survival analysis revealed that the increased pollution level is associated with worse survival. The analysis of the oncogenic virus revealed that aflatoxin, an affirmed carcinogen for liver cancer, was higher in Asian liver cancer patients than in White patients. The aflatoxin mutational signature was exacerbated by hepatitis infection for Asian patients but not for White patients, suggesting a predisposed genetic or genomic disadvantage for Asians concerning aflatoxin. ConclusionsEnvironmental pollutant exposures increase a mutational signature level and worsen cancer prognosis, presenting a definite adverse risk factor for cancer patients.

Tackling Surgical Morbidity and Mortality through Modifiable Risk Factors in Cancer Patients.

Despite advances in surgical techniques, surgical morbidity and mortality remain important public health problems. Postoperative complications often lead to greater morbidity and mortality, as well as increased length of hospital stay and medical costs. Therefore, a reduction in postoperative complications is particularly important with regard to positive long-term outcomes in patients with cancer. To improve patients’ postoperative prognosis, it is necessary to screen for and focus on modifiable risk factors and their subsequent resolution. Recently, it was reported that nutritional status, inflammation and surgical approaches are related to postoperative morbidity and mortality. Therefore, in this review article, we describe the current evidence regarding modifiable risk factors influencing surgical morbidity and mortality as well as future directions for improved postoperative management in cancer patients.

Cancer Therapies and Vascular Toxicities.

Vascular events have become an important issue in the overall management of cancer patients. They usually result from a combination of (i) direct or indirect toxicity of anticancer treatments, (ii) a higher prevalence of cardiovascular risk factors in cancer patients, and (iii) prolonged exposure to treatments due to an increasing patient survival rate. In addition to conventional chemotherapies and radiotherapy, targeted therapies and immunotherapies have been developed which improve the prognosis of cancer patients but sometimes at the cost of vascular toxicity, which can lead to systemic or pulmonary hypertension and arterial/venous thromboembolic events. Endothelial dysfunction, a procoagulant state and metabolic disorders are the three main pathophysiological patterns leading to cancer treatment-related vascular toxicity. This issue is challenging because serious vascular adverse events can necessitate cancer treatment being put on hold or stopped, which could compromise patient survival. In addition to increasing the risk of thrombotic adverse events, cancer therapies may lead to an increased risk of bleeding, especially in treatments with vascular endothelial growth factor inhibitors. Therefore, we can define vasculo-oncology as a part of the cardio-oncology specialty; its aims are to predict, prevent, screen, and treat vascular toxicity related to cancer treatments. While the level of evidence is low regarding the management of vascular toxicity during cancer therapy, cardiologists and specialists in vascular diseases should closely collaborate with oncologists and hematologists to determine the optimal strategy for each patient.

Incidence of Seizure and Associated Risk Factors in Patients in the Medical Intensive Care Unit (ICU) at Memorial Sloan Kettering Cancer Center (MSK) from 2016-2017.

Background: Seizures and status epilepticus are common neurologic complications in the intensive care unit (ICU) but the incidence in a cancer ICU is unknown. It is important to understand seizure risk factors in cancer patients to properly diagnose the seizure type to ensure appropriate therapy. Methods: We identified patients admitted to the medical ICU at Memorial Sloan Kettering Cancer Center (MSK) from January 2016 to December 2017 who had continuous or routine electroencephalography (EEG) and identified clinical and electrographic seizures by chart review. Results: Of the 1059 patients admitted to the ICU between 2016 and 2017, 50 patients had clinical and/or electrographic seizures (incidence of 4.7%, 95% CI: 3.4-6.0). The incidences of clinical and electrographic seizure were 4.1% and 1.1%, respectively. In a multivariable stepwise regression model, history of seizure (OR: 2.9, 95% CI: 1.1-7.8, P: .03), brain metastasis (OR: 2.5, 95% CI: 1.1-5.8, P: .03), vasopressor requirement (OR: 2.2, 95% CI: 1.0-4.9, P: .05), and age < 65 (2.4, 95% CI: 1.2-5.0, P: .02) were associated with increased risk of seizure (either clinical or electrographic). Obtaining continuous EEG instead of routine EEG increased the yield of seizure detection significantly (OR: 3.9, 95% CI: 1.3-11.1, P: .01). No chemotherapy in the past 30 days, no antibiotic use, vasopressor requirement, and having a brain tumor increased risk of electrographic seizure. Length of continuous EEG > 24 h significantly increased the chances of both clinical and electrographic seizure detection, (OR: 2.6 [95% CI: 1.2-5.7] and 15.0 [95% CI: 2.7-82.5], respectively). Conclusions: We identified known and cancer-related risk factors which can aid clinicians in diagnosing seizures in cancer ICUs. Long-term video EEG monitoring should be considered, particularly given the treatable and reversible nature of seizures.

Distribution and risk factors of self-reported cancer cases in adults in China, 2015

Objective: To analyze the prevalence and risk factors of self-reported cancer in adults in China in 2015. Methods: The data used in this study were from China Chronic Disease and Risk Factors Surveillance in 2015. The frequency and proportion of the classified variables were analyzed by descriptive statistics, the disordered classified variables were compared by χ2 test, and the possible risk factors of cancer patients were screened by univariate and multivariate logistic regression analyses. Results: In 2015, there were 1 809 self-reported tumors patients in China, including 689 males (0.63%), 1 120 females (1.03%), 769 (0.71%) in the eastern region, 465 (0.43%) in the central region and 575 (0.53%) in the western region. The patients were mainly distributed in people aged 45- and 55- years old, being overweight or obese, living in eastern urban area, having low education level, being married, having low annual household income and being occupational population. The results of multivariate logistic regression showed that compared with the western region, the prevalence rate of cancer was higher in the eastern region (OR=1.05, 95%CI: 1.04-1.06), while lower in the central region (OR=0.94, 95%CI: 0.93-0.95); the risk for cancer in people with family history of malignancy was higher than that in people without family history of malignancy (OR=1.95, 95%CI:1.94-1.96) the risk for cancer in people with an annual household income of less than 10 000 yuan or between 10 000 and 50 000 yuan was higher than that in people with an annual household income of more than 50 000 yuan (<10 000 yuan: OR=1.59, 95%CI: 1.58-1.60; between 10 000 and 50 000 yuan: OR=1.27, 95%CI: 1.26-1.28); and the risk for cancer in people living urban areas was lower than that in people living in rural areas (OR=0.98, 95%CI: 0.97-0.99). In terms of personal behavior and diet, the risk for cancer in smokers was 1.25 times higher than that in non-smokers (OR=1.25, 95%CI: 1.24-1.26), and the risk for cancer in alcoholics was 1.16 times higher than that in non-alcoholics (OR=1.16, 95%CI: 1.15-1.17), the risk for cancer in people with insufficient vegetable and fruit intakes was 1.29 times and 1.03 times higher than those in people with sufficient intakes of vegetables and fruits, respectively (OR=1.29, 95%CI: 1.28-1.30;OR=1.03,95%CI: 1.02-1.04). People with low frequency of high-intensity exercise had a higher risk for cancer compared with those with high frequency of high-intensity exercise (OR=1.32, 95%CI: 1.31-1.33), the risk for cancer was higher in people with low frequency of moderate exercise than in people with high frequency of moderate exercise (OR=1.08, 95%CI: 1.07-1.09). The risk for cancer in people with sedentary time less than 2 hours was higher than that in those with sedentary time more than 2 hours (OR=1.69, 95%CI: 1.68-1.70), and the risk for cancer in people who ate moderate amount of red meat was lower than that in people who ate excessive amount of red meat (OR=0.86, 95%CI: 0.85-0.87). Conclusions: The number of female self-reported cancer was more than that in males, and the number of self-reported cancer in the eastern region was higher than that in the central and western regions. Living in eastern region, with family history of malignancy, having low annual household income, smoking, drinking, insufficient vegetable intake, insufficient fruit intake and low frequency of high-intensity exercise and low frequency of moderate intensity exercise were the main risk factors for cancer, while living in central region, living in urban area and low red meat intake were protective factors.

Risk Factors in Cancer Patients

Numerous studies in recent years have proven that the oncological process is an independent risk factor for thrombosis. For a long period of time and at the moment, research is continuing on the pathogenesis of a prothrombotic state in cancer patients. It was shown that the degree of risk is influenced by such indicators as the histological type of tumor, the stage of development of the disease, surgery, duration and type of anesthesia, chemotherapy, hormonal therapy, age, the presence of central venous catheters, immobilization, thrombophilia, history of thrombosis, infections. Thrombosis in cancer patients is triggered by thrombogenic factors associated with the tumor, patient-associated factors and environmental factors. The tumor cell affects the balance of hemostasis by releasing procoagulant substances, profibrinolytic, proproteolytic and proaggregant activity, expression of adhesion molecules, secretion of proinflammatory and proangiogenic cytokines; new participants in the process have also been identified. Studies have confirmed the fact that inflammation and thrombosis are inextricably linked with each other and play an important role in the progression of the disease and metastasis. All this opens up new horizons for the development of modern innovative strategies for treating cancer patients and increasing survival.

Patient-Reported Financial Distress in Cancer: A Systematic Review of Risk Factors in Universal Healthcare Systems.

Simple SummaryA comprehensive understanding of risk factors associated with experiencing subjective financial distress is needed to inform the development of valid instruments and effective interventions to tackle financial toxicity. Several studies from the US indicate a strong correlation of the US-healthcare system’s systematic organisation and its particular socioeconomic risk factors for cancer patients experiencing financial toxicity. It is assumed that risk factors differ in other high-income countries due to the different structure of universal healthcare coverage. As an exhaustive analysis for other countries is lacking, this review aims to identify risk factors for subjective financial distress in universal healthcare systems.Financial toxicity is a side effect of cancer that results from the perceived financial distress an individual may experience in the course of the disease. The purpose of this paper is to analyse underlying factors related to subjective financial distress in high-income countries with universal healthcare coverage. A systematic literature review was conducted to identify qualitative and quantitative studies of cancer patient-reported subjective financial distress by performing a search in the databases of PubMed, PsycINFO and CINAHL up to December 2020. A qualitative synthesis was performed linking the time-dependent occurrence of risk factors to derived categories of risk factors. Out of 4321 identified records, 30 quantitative and 16 qualitative studies were eligible. Classification of risk factors resulted in eight categories with a total of 34 subcategories. Subjective financial distress is primarily determined by pre-diagnosis sociodemographic- factors as well as financial and work factors that might change during the course of the disease. The design of healthcare and social security systems shapes the country-specific degree of subjective financial distress. Further research should focus on evolving multidisciplinary intervention schemes and multidimensional instruments for subjective financial distress to account for identified risk factors in universal healthcare systems more precisely.

Evaluation of Radiation-induced Pleural Effusions after Radiotherapy to Support Development of Animal Models of Radiation Pneumonitis.

Not all animal models develop radiation-induced pleural effusions (RIPEs) as a form of radiation-induced lung injury (RILI). Such effusions are also not well characterized in humans. The purpose of this study is to identify occurrences of RIPE in humans, provide justification for development of relevant animal models, and further characterize its risk factors in cancer patients. We also aim to identify dose thresholds for cardiopulmonary toxicity in humans to shed light on possible pathogenic mechanisms for RIPEs. We carried out a retrospective review of medical records of 96 cancer patients receiving thoracic irradiation (TRT) at our institution. Fifty-three (53%) patients developed a new pleural effusion post TRT; 18 (19%) had RIPE; and 67% developed RIPE ipsilateral to the site irradiated. None developed "contralateral only" effusions. Median time to development was 6 mo (IQR; 4-8 mo). Of 18, 8 patients (44%) had concomitant asymptomatic (radiographic only) or symptomatic radiation pneumonitis and pericardial effusion. Dosimetric factors, including combined and ipsilateral mean lung dose (MLD), were significantly associated with increased risk of RIPE. Angiotensin converting enzyme inhibition, steroids, or concurrent chemotherapy did not modify incidence of RIPE. Our results substantiate the occurrence and incidence of RIPEs in humans. In cancer patients, a median time to development of effusions around 6 mo also supports the onset of RIPEs concurrent with radiation pneumonitis. Future work needs to include large populations of cancer survivors in whom delayed RIPEs can be tracked and correlated with cardiovascular changes in the context of injury to multiple organs.

Retraction Note: MicroRNA-23a enhances migration and invasion through PTEN in osteosarcoma.

To investigate the biological significance of abundant microRNA-23a (miR-23a) expression in osteosarcoma and its correlation with PTEN in the pathogenesis of osteosarcoma migration and invasion. The human osteosarcoma cell lines MG63, HOS58 and SaoS-2, and the human normal osteoblasts (hFOB1.19) were grown in RPMI 1640 medium supplemented with 10% fetal bovine serum. Gene and protein levels of miR-23a and PTEN were examined to determine the molecular relationship between them in the pathogenesis of osteosarcoma. Inhibition of miR-23a effectively reduced migration and invasion of osteosarcoma cell lines. Bioinformatics and luciferase-reporter assay revealed that miR-23a specifically targeted the 3'-untranslational region of PTEN and regulated its expression. Downregulation of PTEN enhanced migration and invasion of osteosarcoma cell lines. Furthermore, in tumor tissues obtained from osteosarcoma patients, the expression of miR-23a was negatively correlated with PTEN and the high expression of miR-23a combined with low expression of PTEN might serve as a risk factor for cancer patients. Besides, miR-23a-mediated suppression of PTEN led to activation of AKT/ERK pathways and epithelial-mesenchymal transition (EMT) in osteosarcoma cells, and finally enhanced the activity of osteosarcoma cell proliferation and movement and promoted osteosarcoma xenograft tumor growth in mouse models. Our study showed that miR-23a, by downregulation of PTEN, enhanced migration and invasion in osteosarcoma cells.

The impact of socio-demographic factors on the survival of cancer patients in Zimbabwe

We provide a survival analysis of cancer patients in Zimbabwe. Our results show that young cancer patients have lower but not significant hazard rate compared to old cancer patients. Male cancer patients have lower but not significant hazard rate compared to female cancer patients. Race and marital status are significant risk factors for cancer patients in Zimbabwe.

COVID-19 Risk Factors for Cancer Patients: A First Report with Comparator Data from COVID-19 Negative Cancer Patients.

Simple SummaryThe COVID-19 pandemic has had a detrimental impact on cancer patients globally. Whilst there are several studies looking at the potential risk factors for COVID-19 disease and related death, most of these include non-cancerous patients as the COVID-19 negative comparator group, meaning it is difficult to draw hard conclusions as to the implications for cancer patients. In our study, we utilized data from over 2000 cancer patients from a large tertiary Cancer Centre in London. In summary, our study found that patients who are male, of Black or Asian ethnicity, or with a hematological malignancy are at an increased risk of COVID-19. The use of cancer patients as the COVID-19 negative comparator group is a major advantage to the study as it means we can better understand the true impact of COVID-19 on cancer patients and identify which factors pose the biggest risk to their likelihood of infection with SARS-CoV2.Very few studies investigating COVID-19 in cancer patients have included cancer patients as controls. We aimed to identify factors associated with the risk of testing positive for SARS CoV2 infection in a cohort of cancer patients. We analyzed data from all cancer patients swabbed for COVID-19 between 1st March and 31st July 2020 at Guy’s Cancer Centre. We conducted logistic regression analyses to identify which factors were associated with a positive COVID-19 test. Results: Of the 2152 patients tested for COVID-19, 190 (9%) tested positive. Male sex, black ethnicity, and hematological cancer type were positively associated with risk of COVID-19 (OR = 1.85, 95%CI:1.37–2.51; OR = 1.93, 95%CI:1.31–2.84; OR = 2.29, 95%CI:1.45–3.62, respectively) as compared to females, white ethnicity, or solid cancer type, respectively. Male, Asian ethnicity, and hematological cancer type were associated with an increased risk of severe COVID-19 (OR = 3.12, 95%CI:1.58–6.14; OR = 2.97, 95%CI:1.00–8.93; OR = 2.43, 95%CI:1.00–5.90, respectively). This study is one of the first to compare the risk of COVID-19 incidence and severity in cancer patients when including cancer patients as controls. Results from this study have echoed those of previous reports, that patients who are male, of black or Asian ethnicity, or with a hematological malignancy are at an increased risk of COVID-19.

Racial disparities in prevalence of cardiovascular disease risk factors in head and neck cancer patients

Abstract Funding Acknowledgements Type of funding sources: Other. Main funding source(s): American Heart Association Pre-doctoral Fellowship Background Cancer patients and survivors have higher burden of cardiovascular diseases than the age-adjusted general population. However, evidence on distribution of cardiovascular disease risk factors in cancer patients is limited. Purpose Our aim was to assess if racial disparities exist in prevalence of cardiovascular disease risk factors in head and neck cancer patients. Methods In this clinical cohort, we included 2299 head neck squamous cell carcinoma (HNSCC) patients diagnosed between 2012-2018 at a National Cancer Institute-designated Cancer Center. We used a combination of ICD-9/10 codes, medication use and pharmacy records from electronic medical records data, to identify cardiovascular disease risk factors (hypertension, dyslipidemia and diabetes mellitus). We reported prevalence of cardiovascular disease risk factors at and one year-post HNSCC diagnosis, by race, using Chi-square or Wilcoxon test, as appropriate. Results Black HNSCC patients were diagnosed at a slightly younger age (median: 60.0 vs 62.0 years, p-value 0.0745), had a higher proportion of males (p-value 0.0221) and advanced cancer stage at diagnosis (p-value 0.0033), than white HNSCC patients. At diagnosis, 32.63% of black HNSCC patients had hypertension and 34.44% had at least one cardiovascular disease risk factor, compared to 24.59% and 27.74% in whites, respectively (p-values 0.0020 and 0.0127, respectively). At one-year post HNSCC diagnosis, 84.73% of all HNSCC patients had at least one cardiovascular disease risk factor. No statistically significant racial differences were observed for hypertension and diabetes mellitus at one-year post HNSCC diagnosis, however, 37.74% of white HNSCC patients had dyslipidemia compared to 27.49% black patients (p-value 0.003). Conclusion Higher prevalence of hypertension and advanced cancer stage at HNSCC diagnosis in black patients highlights issues of racial disparity and unequal access to care. High prevalence of cardiovascular disease risk factors at one-year post HNSCC diagnosis and increase in dyslipidemia in white patients emphasizes the impact of therapeutic agents and need for routine personalized monitoring of cardiovascular disease risk factors and cardiovascular disease preventive services in high risk HNSCC patients.

Modeling Precision Cardio-Oncology: Using Human-Induced Pluripotent Stem Cells for Risk Stratification and Prevention.

Purpose of ReviewCardiovascular toxicity is a leading cause of mortality among cancer survivors and has become increasingly prevalent due to improved cancer survival rates. In this review, we synthesize evidence illustrating how common cancer therapeutic agents, such as anthracyclines, human epidermal growth factors receptors (HER2) monoclonal antibodies, and tyrosine kinase inhibitors (TKIs), have been evaluated in cardiomyocytes (CMs) derived from human-induced pluripotent stem cells (hiPSCs) to understand the underlying mechanisms of cardiovascular toxicity. We place this in the context of precision cardio-oncology, an emerging concept for personalizing the prevention and management of cardiovascular toxicities from cancer therapies, accounting for each individual patient’s unique factors. We outline steps that will need to be addressed by multidisciplinary teams of cardiologists and oncologists in partnership with regulators to implement future applications of hiPSCs in precision cardio-oncology.Recent FindingsCurrent prevention of cardiovascular toxicity involves routine screenings and management of modifiable risk factors for cancer patients, as well as the initiation of cardioprotective medications. Despite recent advancements in precision cardio-oncology, knowledge gaps remain and limit our ability to appropriately predict with precision which patients will develop cardiovascular toxicity. Investigations using patient-specific CMs facilitate pharmacological discovery, mechanistic toxicity studies, and the identification of cardioprotective pathways. Studies with hiPSCs demonstrate that patients with comorbidities have more frequent adverse responses, compared to their counterparts without cardiac disease. Further studies utilizing hiPSC modeling should be considered, to evaluate the impact and mitigation of known cardiovascular risk factors, including blood pressure, body mass index (BMI), smoking status, diabetes, and physical activity in their role in cardiovascular toxicity after cancer therapy. Future real-world applications will depend on understanding the current use of hiPSC modeling in order for oncologists and cardiologists together to inform their potential to improve our clinical collaborative practice in cardio-oncology.SummaryWhen applying such in vitro characterization, it is hypothesized that a safety score can be assigned to each individual to determine who has a greater probability of developing cardiovascular toxicity. Using hiPSCs to create personalized models and ultimately evaluate the cardiovascular toxicity of individuals’ treatments may one day lead to more patient-specific treatment plans in precision cardio-oncology while reducing cardiovascular disease (CVD) morbidity and mortality.